1. Deploy the mattermost-instance helm chart on AWS EKS

    TypeScript

    To deploy the Mattermost instance Helm chart on AWS Elastic Kubernetes Service (EKS), we will take the following steps with Pulumi:

    1. Create an EKS Cluster: This will be the Kubernetes environment where your workloads will run.
    2. Install the Helm Chart for Mattermost: Using Pulumi's Helm Chart resource, we'll deploy Mattermost into the created EKS cluster.

    Below is a detailed Pulumi program in TypeScript to accomplish this. You will need to have Pulumi installed and AWS credentials configured.

    Program Explanation

    First, we'll create an EKS cluster using the eks.Cluster resource – this creates a managed Kubernetes cluster on AWS EKS. We will then deploy Mattermost using the kubernetes.helm.sh/v3.Chart resource which is used to deploy Helm charts on a Kubernetes cluster.

    The necessary Pulumi packages are @pulumi/eks for working with EKS clusters, and @pulumi/kubernetes for Kubernetes resources, including Helm charts.

    The high-level Pulumi EKS component, pulumi/eks, sets up the EKS cluster with sensible defaults, and the kubernetes package interfacing allows us to deploy applications defined in Helm charts.

    Pulumi Program

    import * as eks from "@pulumi/eks"; import * as k8s from "@pulumi/kubernetes"; // Create an EKS cluster. const cluster = new eks.Cluster("mattermost-cluster", { instanceType: "t2.medium", desiredCapacity: 2, minSize: 1, maxSize: 3, storageClasses: "gp2", deployDashboard: false, }); // Create a Kubernetes Provider pointing to the EKS cluster. const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: cluster.kubeconfig.apply(JSON.stringify), }); // Deploy the Mattermost Helm chart into the created EKS cluster. const mattermostChart = new k8s.helm.v3.Chart( "mattermost", { chart: "mattermost-team-edition", version: "5.31.0", // Specify the version of the Helm chart you wish to deploy fetchOpts: { repo: "https://helm.mattermost.com/", }, }, { provider: k8sProvider } ); // Export the cluster's kubeconfig and Mattermost service endpoint export const kubeconfig = cluster.kubeconfig; export const mattermostEndpoint = mattermostChart.getResourceProperty( "v1/Service", "mattermost-team-edition", "status" ).apply(status => status.loadBalancer.ingress[0].hostname);

    This program first creates an EKS cluster with a set desired capacity of compute instances that suit the running of Mattermost. We've chosen t2.medium instances, but this selection can be adjusted to meet the demands of your workload.

    After creating the cluster, we initialize a Pulumi Kubernetes provider that uses the kubeconfig of the newly created cluster. This provider is then used to deploy Mattermost with a specific Helm chart version.

    Finally, the program exports the kubeconfig for accessing the cluster via kubectl and the endpoint URL to access the Mattermost application once it's deployed.

    Notes:

    • Replace the chart and version with the desired helm chart name and version for your Mattermost deployment.
    • The kubeconfig will allow you to interact with your EKS cluster using kubectl.
    • The mattermostEndpoint export gives you the URL where you can access your Mattermost application once it's deployed and the load balancer is active.

    For further details regarding resources, you may view the documentation:

    For deploying this program:

    1. Save this code in a file with a .ts extension.
    2. Run pulumi up from the command line in the same directory as the file.
    3. Follow the prompts from the Pulumi CLI to preview and apply the changes.

    Remember to follow AWS's best practices, especially in selecting the right instance types and settings for your actual workload and considering matters like load balancing, security, and monitoring. Also, Helm chart version or configuration may change, so the exact values like version: "5.31.0" and chart: "mattermost-team-edition" in the code need to be the actual versions you intend to deploy.


GPT4o|Modeexplainbalancedcode